How countries’ legislations can sustainably impact children’s mental health
Bibliographic record
Abstract
Introduction In a new era where, more and more children are standing up against governments concerning important subjects like climate change that will impact their physical health in a near future, it is time to question ourselves on all the other decisions that are being taken and that could have a sustainably high impact on some of our children’s development and mental health. Unfortunately, many of those children are forced to remain silent - unable to express themselves - or are just not being heard – unable to gain international medias’ attention - because of their social condition, cultural background, age or religion. But more sadly, most of them remain silent because they are just unaware of the consequences their living conditions or hardships might have on their future mental health, due to lack of information or education. Objectives Therefore, it is our responsibility as childhood experts and professionals to speak for those children who cannot, to stand up for themselves and promote the importance of putting their interest first no matter what. Methods We have chosen six different studies led in different contexts of struggle for children all around the world to illustrate the consequences on their development and mental health. Results We will communicate on the situations of children living in refugee camps, children living with their mothers in prison cells, children being forcibly separated from their mothers returning from Daesh territories in France or children being forcibly separated from their migrant mothers at the US border, we will describe the hardships but also the effective support provided to unaccompanied minors in Canada, and especially discuss with our cochair expertise how the issue is or could be different for them according to government policies and legislations. Conclusions By describing these different contexts of unstable living conditions or traumatic experiences orchestrated by government legislation regarding children care, we want to highlight the responsibility that every government legislation must consider when it comes to child care and how it should become an absolute priority. Disclosure of Interest None Declared
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".